Simulation model of security control lane operation in the state of the COVID-19 epidemic

The article presents a discrete event simulation model for the various security control lanes configurations. The aim of the article was to check the impact of social distance on the performance of security control lanes. Different ways of passenger flow across the lane were compared. The model was verified on actual data. The results obtained indicate that it is better to use lanes with a dedicated service area for each passenger on Entry Area than a free flow along the lane. This knowledge is extremely important for security checkpoint designers. It will help ensure proper performance under normal conditions and limit performance losses under epidemic conditions. The results were also divided according to different structure of the passenger stream (percentage share of flags, lowcost and charter operations). The results showed that this has a significant impact on efficiency.     

Analyzing passenger behavior in airport terminals based on activity preferences

Airport terminals are facilities that provide a variety of activities related to both the preparation of the passengers for their air trip (aeronautical) and their free time inside the terminal (non-aeronautical). In the last years, the number of non-aeronautical activities has substantially increased and significantly diversified both before and after the security checkpoint. The established role of non-aeronautical activities forces planners and managers to better understand passenger behavior. The potential of discrete choice models for the exploration of passenger behavior is analyzed in this paper. For the demonstration of the methodology, Lisbon Humberto Delgado International airport is used as a case study. Data is collected through a revealed and stated preference survey inside the terminal at the area before the security checkpoint. Activity-choice models are developed to identify the factors that affect the choices of the passengers over the area where they conduct non-aeronautical activities. Forecasts show that when increasing the percentage of passengers who conduct the check-in online and have planned their activities before arriving at the airport, the passengers’ preferences to conduct non-aeronautical activities only after the security checkpoint increase. This paper shows the contribution of developing discrete choice models in the better comprehension of passenger decisions over the activities they perform in an airport terminal.     

Ratio-based design hour determination for airport passenger terminal facilities

To avoid both over-design and under-sizing of airport passenger terminal facilities such as security checkpoints, the infrastructure is designed for a specifically determined design load. As such, the design load is considered for a short period of time, usually an hour of operation, during which peak, though not necessarily maximum, demand occurs. For strategic planning applications, future design loads can be determined by either fictitious flight schedules or ratio-based models which forecast the relationship between design load and annual demand. This study presents two ratio-based methods which allow the direct determination of design hour loads (DHL) for passenger terminal facilities. The unsaturated DHL model considers the relationship between observed passenger flows in the terminal and aggregated annual demand data. The saturated DHL model includes several operational constraints which limit the actual DHL, such as limitations in the runway system or the fleet mix operating at an airport. Both models are applied to two real-world airports, for which the DHL of the security checkpoint facilities is estimated from large datasets covering multiple years. Results are significant at the 5 % level and suggest that the proposed ratio-based methods are appropriate for airport strategic planning applications.     

Airport operations and security screening: An examination of social justice

Airports are a crucial part of the United States transportation system and airport officials are continuously challenged to ensure that their operations are secure. A major part of providing airport security is implementing check points where passengers interface with the security screening system. The airlines and airport security administration receive negative publicity when passengers are mistreated at security check points. Further, these organizations spend a lot of time to assess the situation and take corrective actions. This study examines passenger perceived bias and the airport security screening system. Using data from a randomly selected sample of 145 airline passengers, six hypotheses are tested. The hypotheses exam the predictive relationships of control procedures, security personnel training, security personnel professionalism, and security screening systems on passenger perceived bias. Multiple regression analysis is used to test the hypotheses. The research findings indicate that security personnel professionalism is negatively and significantly related to passenger perceived bias. Also, security personnel training and security control procedures are positively and significantly related to security personnel professionalism. Management implications, limitations, and recommendations for future research are offered.     

Queue behavioural patterns for passengers at airport terminals: A machine learning approach

Passengers go through different handling processes inside airport terminal buildings. The quality of these processes is usually measured by the time passengers require and by the level of comfort experienced by them. We present an analysis of behavioural patterns in queues at check-in desks and security controls, which are two of the most critical processes regarding passenger service. The passengers' flow is simulated to obtain queue lengths at one busy European airport between 2014 and 2016, supported by real flight data. Simulation is designed as a store-and forward cell-based system, whose parameters have been tuned and validated with real data from observations and empirical capacity and demand studies within the airport. Random Forest algorithms are then implemented to develop different models for each parameter prediction, after a data analysis stage based on statistical and visualization methods. Feature analysis techniques between dependent variables and the target outputs (queue lengths) determine which are the fundamental elements to explain queue behaviour and to predict target variables. We provide a method to forecast behavioural patterns at check-in desks and security controls, to help airport operators to implement adequate response policies. Queue behavioural patterns are captured by Machine Learning models, which can be used to offer improved passenger services (such as real-time predictions for expected waiting time at queues), or can be considered in a dynamic approach for terminal services design (as the entire progress of terminal handling depends on the stochastic behaviour of passengers). This could be a key tool for managing passengers demand and optimise the infrastructure's capacity through resource allocation.     

Canadian airport security: The privatization of a public good

Economic theory would define airport security as a public good; no different than border control or the military, but this is not how it is treated in many countries. In Mexico, airport security is financed entirely from the public treasury. In the U.S., the cost is split evenly between air passengers and the public treasury. In Canada, air passengers pay the entire cost of airport security. The Canadian case is examined in detail. Forcing air passengers to bear the full cost of airport security creates a number of economic distortions. Air travel in Canada is discouraged by the added cost of security, but worse it encourages travelers to cross the Canada-U.S. border where they can fly from lower cost U.S. airports. The tax losses to the public treasury because of this policy are arguably greater than the total security fees collected.Airport security evolved organically rather than by design because governments were forced to react quickly to escalating threats. As a result, a “user-pay” financing system was put in place in Canada without careful policy analysis.     

Future airport terminals: New technologies promise capacity gains

The changing dynamics of passenger processes in future airport terminals resulting from pressures from both the demand and supply side are analyzed in this paper. Short and long term (beyond 2020) developments are studied following technology advances and business plans of airlines and airports. Key technologies affecting the central passenger processing functions include identity management and biometrics, Near Field Communications, Big Data analytics and smartphone applications. A simulation model is developed and used to assess the impact of forthcoming changes on the airport's departure hall. Lisbon Portela airport is used as case study. It is shown that passenger process times at the check-in and security checkpoints are significantly reduced, due to the introduction of passenger facilitation processes, under a range of behavioral, technological and policy uncertainties. The most salient implication of these reductions is the quantified capacity gains in the building which question the need for terminal expansion.     

Key drivers of passengers' overall satisfaction at klia2 terminal

The purpose of this study is to examine the airport service quality dimensions based on the ASQ survey and investigate the best predictor for overall satisfaction. The context of this study is the klia2 terminal passengers, which are predominantly users of the low-cost carriers at Kuala Lumpur International Airport. Secondary data obtained from the airport operator on the 2016 ASQ survey for the klia2 terminal was analysed using the PLS-SEM method. The grouping and impact of the thirty-three service quality elements from the ASQ survey were tested against the overall satisfaction element. The findings indicated that twenty-two out of the thirty-three elements were valid measures for the klia2 terminal users which forms the eight dimensions i.e. access, airport environment, airport facilities, arrival services, check-in, finding your way, passport and security. Airport environment was found as the best predictor in determining passengers’ overall satisfaction at klia2 terminal and should be given particular focus by the airport operator for continuous improvements.     

Spanish airports performance and efficiency benchmark. A PESA-AGB study

This study uses a MCDA tool to analyse and improve Spanish airports performance and efficiency. Thus, a holistic study using MACBETH (with PESA-AGB) is used. This study has never been applied before in Spanish airports. Firstly, a literature review related to this study keywords is conducted, as well as about benchmarking concept applied specifically to airports. Secondly, several methodologies in used to benchmark airports are reviewed and compared. Thirdly, airport performance and efficiency issues are addressed and described. Finally, the MCDA-MACBETH (with PESA-AGB) tool is applied to 4 Spanish airports.Spanish airports belonging to AENA transported 263, 753, 406 passengers in 2018 with an increase compared to 2017 of 5.8%. General data enables to conclude that.Spanish air transportation system is growing annually and hence there is the need to improve airports performance and efficiency, also to maintain the high levels of quality to address the growing demand. Spanish air transportation system is growing annually and is it upmost important to maintain high levels of quality to address such demand. Through this study, performance and efficiency improvements are seek within several airport key areas such as Safety and Security, Quality Service, Productivity and Effectiveness, Financial and Environment.     

Does a reward program affect customers’ behavioural intention of visiting the airport? A case study of Singapore Changi Airport

An understanding of the behavioural intentions of customers in visiting airports may help airport management to boost airport retail revenue (i.e. non-aeronautical revenue) by increasing customer spending at the airports. This study aims to examine the connection between airport reward programs and customers' behavioural intentions of visiting the airport, attempting to bring some benefits and credits for implementing reward programs in the airport sector by using Singapore Changi Airport as a case study. Two types of customer behavioural intentions (i.e. time spent at the airport and various purposes of visiting the airport) were investigated in the study to examine the effects of Changi Airport's reward program (i.e. Changi Rewards). An on-line survey was conducted, and the participants' responses were analysed via a structural equation modelling approach. The results showed that the attractive benefits of Changi Rewards could have a positive influence on arousing customers' intentions to engage with the programme. In addition, customers' intentions to engage with the programme can have a positive effect on increasing passengers' time spent at the airport and inducing customers to visit the airport for leisure purposes. Managerial implications to the airport sector are discussed.     

A study of the site selection of a civil airport based on the risk of bird strikes: The case of Dalian,China

Bird strikes are a potential danger to aviation security. The threat of birds to the flight security of civil airplanes is hard to solve if the existence of birds in nature is ignored. An in-depth study on the living habits of birds and the request for a harmonious coexistence between birds and civil airplanes seems to be an effective way to relieve this contradiction. Taking the case of the site selection of the civil airport in Dalian of China, this paper comprehensively analysed the bird strike assessment of various species of birds near the sites of Zhoushuizi Airport and Jinzhou Bay Airport. The assessment of the risk of bird strikes demonstrated that the site of the Jinzhou Bay airport would have a smaller risk of bird strikes, which could greatly reduce collisions between birds and airplanes and promote aviation security. Such results provide a valuable reference for the site selection of the civil airport in Dalian. As bird strikes are a common problem in the field of civil aviation, the analysis and methods in this paper are a needed reference for the planning and land use of civil airports in other cities.     

Management style and airport performance in Brazil

The intention to privatize Brazilian public enterprises dates from 1990. As with other enterprises, a board was appointed at the Brazilian Airport Infrastructure Enterprise to prepare it for privatization. Although the enterprise remains public, there are clear signs of substantial changes in the airports it manages. This study uses data envelopment analysis techniques to investigate the impacts of changes in managerial style on airport performance between 1998 and 2001. Despite a decline in operational performance, financial performance improved.     

Supply-and-demand models for exploring relationships between smaller airports and neighboring hub airports in the U.S.

Airport passenger leakage is the phenomenon of air passengers choosing to travel longer distances to access more extensive air services offered by airlines at an out-of-region hub (or, substitute) airport, instead of using their local airports. Airport leakage can cause further reduction in services offered by airlines at a local airport, thereby causing even further leakage, and so on, which can significantly impact an airport's role in the growth of the local economy. This paper explores the geographic and operational attributes of local-and-substitute airport pairs in the United States, explicitly accounting for the interactive feedback relationship between passenger volumes and air service characteristics that contribute to the onset, persistence, and exacerbation of airport passenger leakage. A two-stage least squares regression model of air passenger demand at small- and medium-sized airports is first presented, where local passengers may travel by vehicle to larger, out-of-region hub airports. The results confirm that airfare and passenger volume relationships exist between the local and substitute airport pairs included in the dataset, and that lower airfares at the substitute airport have a greater impact on airport choices made by larger travel groups. They also suggest the existence of positive feedback in that if an airport attracts increasingly smaller passenger numbers with fewer air services and fewer air services with fewer passengers, without external intervention airport leakage impacts may be irreversible and exacerbate over time. A conceptual market share equilibrium analysis is used to illustrate the mechanisms of a direct two-way feedback relationship between passenger volumes at a local airport and air service characteristics at both the local and substitute airports. With data, this quantitative framework can help guide airport planners in further assessing and verifying suspected passenger leakage issues at their airport. The results suggest that without intervention, airport leakage impacts may be difficult to reverse; further exacerbating the trend are technological advancements that make driving cheaper and easier (connected and autonomous vehicles). However, the results can also guide planners in choosing the types and degrees of infrastructure investments and airline incentives that may be used to expand or retain air services to attract passengers.     

Airport selection criteria of low-cost carriers: A fuzzy analytical hierarchy process

The selection of airport is an important consideration for low-cost carriers (LCCs) to remain cost competitive. The objective of this study is to identify and rank the airport selection criteria of LCCs. Based on reviewing the existing literature, five main factors comprising 16 sub-factors were developed. The factors were first validated by three industry experts from the aviation industry. Thereafter, a survey questionnaire requiring a comparison of the factors was administered on 28 executives who were involved in the strategy planning and formulation of LCCs based in China or Korea. The collected data were analysed using fuzzy analytical hierarchy process (FAHP). In descending order of their importance, the main factors influencing LCCs' selection of airport are (1) airport charges, (2) airport performance, (3) airport growth opportunities, (4) catchment area and (5) airport infrastructure. The top three sub-factors are airport costs, demand for LCC services and passenger throughput. The research contributes to academic research by providing a holistic assessment of the key considerations influencing LCCs' selection of airport. In addition, it implicates policy formulation of LCCs by providing a framework for assessment of airports that are suitable for LCCs’ operations.     

The competitive landscape of air transport in Europe

Competition between airlines and airports increased significantly since the deregulation of the intra-European air transport market in 1997. The passenger has a wider choice in terms of routings and departure airports than twenty-five years ago and pays a lower price. In this paper we investigate in which parts of Europe airline and airport competition are most intense and how the competitive landscape has changed since the liberalisation of the intra-European market.Competition levels are modelled for all air transport markets available to consumers in each western-European municipality using a Multinomial Logit (MNL) model. This allows us to determine how competitive the air transport product available to consumers in each of those municipalities truly is and how competition levels have changed. As opposed to most other competition studies we take all viable direct and indirect flight alternatives into account, as well as competing alternatives from nearby (adjacent) airports. This makes it the most extensive analysis of competition in the European aviation industry performed to date.As expected the results show that airline competition, allowing for grouping of the airlines belonging to the same alliance together, has in general increased since the liberalisation of the intra-European market. This can mainly be ascribed to the rise of the low cost business model. The spatial analysis however shows an uneven outcome. Changes in airline competition are most pronounced in areas that were previously not well served, such as the more remote regions in the United Kingdom, Spain and Italy. In Germany airline competition is lagging behind due to the strong dominance of the STAR alliance. In large parts of Scandinavia, but also in parts of France and Spain, airline competition is considerably less. These areas are often served only by a handful of airports and/or airlines, limiting airline choice and therefore competition.     

Brazilian airport economics from a geographical perspective

This paper discusses the revenue and expenditure functions of a sample of Brazil’s airports administered by Infraero, the Brazilian State enterprise responsible for administering the country’s major airports. It aims to identify what volume of movement at the airports associates with positive net earnings, i.e., the break-even point between revenue and expenditure, in view of aspects of airport movement and geographical factors. It examines airports serving regular airlines and with movement of up to 8 million passengers in 2010. Revenues and expenditures are explained by total passengers embarked and disembarked at each airport and by the potential of the airport’s ‘anchor city’. Multiple regression analysis achieved a high level of explanation for the dependent variables studied, i.e., revenues and expenditures. The model explains 81% and 91% of the variations in revenues and expenditures, respectively. The analysis shows that, considering the ranking of cities, Brazilian airports with less than 2 million passengers tend to operate at a financial loss, those with between 2 and 3 million passengers are at the transition stage between positive and negative earnings, while airports with more than 3 million passengers tend to make gains. However, the simulation modelling shows that the break-even point between expenditure and revenue functions can vary considerably when different ‘city potentials’ are considered. In this respect, the modelling offers investors a tool for analyzing passenger demand risk in the light of expectations for Brazilian cities’ potential.     

An empirical analysis of airport capacity expansion

Theoretical analyses of the impact of airport capacity expansion must model or make assumptions about the effect of capacity on demand, airline competition, aircraft types, fares and other characteristics of a given airport. In this paper, we use empirical data on historical schedules, fares, delays and demand for the busiest 150 airports in 2015 to examine the typical impact of historical capacity expansions. We find significant diversity in outcomes, with over half the expanded airports either using less than their pre-expansion capacity or remaining constrained even at post-expansion capacity by 2016. Many of the expected impacts, such as reductions in typical aircraft size, either do not materialise or are dominated by other effects (for example, recessions; airlines beginning or ending operations at an airport; changes in regulation). Behaviour on expansion is affected by slot control regulations and whether the airport is initially capacity-constrained. In particular, slot-controlled airports typically add new destinations and carriers on expansion rather than making significant changes to existing schedules.     

Relevance of airport accessibility and airport competition

Airport accessibility is an important criterion for airport competition. The relevance of airport accessibility and airport competition was studied in this paper based on the panel data collected from nine large airports in Jiangsu province, China from 2005 to 2014. The results showed that the cost of expense, time and fatigue for the arrival at the airport are proposed to quantify levels of fastness, economy and amenity for the passengers to arrive at airport. The airport accessibility is significantly affected by airport passenger traffic and airline frequency. The passenger traffic can be increased by 2% with 1% increase of airport accessibility based on the analysis results of the nine large airports in Jiangsu province.     

Slot auction in an airport network with demand uncertainty

This paper investigates the effectiveness of airport slot auction by developing a two-stage model, which distributes slots among competing airlines using an ascending-bid multi-unit auction. Airlines assign different values to slots at peak and off-peak periods, and each carrier has its private (subjective) forecast of future demand. Conditional on the slots available to them, airlines compete in frequency, fare, and aircraft size over a congested airport network. The market outcome under such a scheme is benchmarked to those under an ex ante allocation and an ex post allocation by a social planner. Comparison results suggest that the auction-based scheme is inferior to the other two schemes when there is little fluctuation in demand, whereas the auction-based system is more effective when there is substantial demand uncertainty. Auctioning some grandfathered slots can improve social welfare but the marginal effect may diminish quickly.